Pandas Profiling Report

Dataset statistics

Number of variables	33
Number of observations	130064
Missing cells	0
Missing cells (%)	0.0%
Duplicate rows	1575
Duplicate rows (%)	1.2%
Total size in memory	32.7 MiB
Average record size in memory	264.0 B

Variable types

Numeric	12
Categorical	21

Warnings

Dataset has 1575 (1.2%) duplicate rows	Duplicates
`lat` has a high cardinality: 54505 distinct values	High cardinality
`long` has a high cardinality: 55046 distinct values	High cardinality
`Num_Acc` is highly correlated with `id_vehicule`	High correlation
`id_vehicule` is highly correlated with `Num_Acc`	High correlation
`agg` is highly correlated with `catr` and 1 other fields	High correlation
`catr` is highly correlated with `agg` and 1 other fields	High correlation
`vma` is highly correlated with `agg` and 1 other fields	High correlation
`Num_Acc` is highly correlated with `id_vehicule`	High correlation
`id_vehicule` is highly correlated with `Num_Acc`	High correlation
`agg` is highly correlated with `catr` and 1 other fields	High correlation
`atm` is highly correlated with `surf`	High correlation
`catr` is highly correlated with `agg` and 1 other fields	High correlation
`surf` is highly correlated with `atm`	High correlation
`vma` is highly correlated with `agg` and 1 other fields	High correlation
`Num_Acc` is highly correlated with `id_vehicule`	High correlation
`id_vehicule` is highly correlated with `Num_Acc`	High correlation
`agg` is highly correlated with `catr` and 1 other fields	High correlation
`atm` is highly correlated with `surf`	High correlation
`catr` is highly correlated with `agg` and 1 other fields	High correlation
`surf` is highly correlated with `atm`	High correlation
`vma` is highly correlated with `agg` and 1 other fields	High correlation
`obs` is highly correlated with `obsm`	High correlation
`vma` is highly correlated with `catr` and 3 other fields	High correlation
`num_veh` is highly correlated with `col`	High correlation
`atm` is highly correlated with `surf`	High correlation
`surf` is highly correlated with `atm`	High correlation
`id_vehicule` is highly correlated with `Num_Acc`	High correlation
`catr` is highly correlated with `vma` and 2 other fields	High correlation
`Num_Acc` is highly correlated with `id_vehicule`	High correlation
`circ` is highly correlated with `vma` and 2 other fields	High correlation
`place` is highly correlated with `obsm` and 1 other fields	High correlation
`obsm` is highly correlated with `obs` and 2 other fields	High correlation
`catv` is highly correlated with `secu1`	High correlation
`agg` is highly correlated with `vma` and 2 other fields	High correlation
`col` is highly correlated with `num_veh` and 1 other fields	High correlation
`secu1` is highly correlated with `catv` and 1 other fields	High correlation
`catu` is highly correlated with `place` and 1 other fields	High correlation
`lum` is highly correlated with `agg`	High correlation
`nbv` is highly correlated with `vma` and 1 other fields	High correlation
`obs` is highly correlated with `obsm`	High correlation
`place` is highly correlated with `catu`	High correlation
`obsm` is highly correlated with `obs`	High correlation
`catu` is highly correlated with `place`	High correlation
`lat` is uniformly distributed	Uniform
`long` is uniformly distributed	Uniform
`nbv` has 3427 (2.6%) zeros	Zeros
`infra` has 108372 (83.3%) zeros	Zeros

Reproduction

Analysis started	2021-07-24 07:52:23.142249
Analysis finished	2021-07-24 07:54:30.961332
Duration	2 minutes and 7.82 seconds
Software version	pandas-profiling v3.0.0
Download configuration	config.json

Num_Acc
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	57586
Distinct (%)	44.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.019000295 × 10¹¹

Minimum	2.019 × 10¹¹
Maximum	2.019000588 × 10¹¹
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.2 KiB

Quantile statistics

Minimum	2.019 × 10¹¹
5-th percentile	2.01900003 × 10¹¹
Q1	2.019000148 × 10¹¹
median	2.019000294 × 10¹¹
Q3	2.019000443 × 10¹¹
95-th percentile	2.019000559 × 10¹¹
Maximum	2.019000588 × 10¹¹
Range	58839
Interquartile range (IQR)	29467.5

Descriptive statistics

Standard deviation	16984.02483
Coefficient of variation (CV)	8.41209626 × 10^-8
Kurtosis	-1.20187369
Mean	2.019000295 × 10¹¹
Median Absolute Deviation (MAD)	14740
Skewness	-0.0006488678133
Sum	2.625992543 × 10¹⁶
Variance	288457099.4
Monotonicity	Increasing

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2.019000296 × 10¹¹	30	< 0.1%
2.019000497 × 10¹¹	28	< 0.1%
2.019000271 × 10¹¹	25	< 0.1%
2.019000576 × 10¹¹	24	< 0.1%
2.019000522 × 10¹¹	24	< 0.1%
2.019000546 × 10¹¹	24	< 0.1%
2.019000414 × 10¹¹	23	< 0.1%
2.019000499 × 10¹¹	22	< 0.1%
2.019000429 × 10¹¹	21	< 0.1%
2.019000216 × 10¹¹	19	< 0.1%
Other values (57576)	129824	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
2.019 × 10¹¹	3	< 0.1%
2.019 × 10¹¹	1	< 0.1%
2.019 × 10¹¹	4	< 0.1%
2.019 × 10¹¹	4	< 0.1%
2.019 × 10¹¹	3	< 0.1%
2.019 × 10¹¹	2	< 0.1%
2.019 × 10¹¹	2	< 0.1%
2.019 × 10¹¹	1	< 0.1%
2.019 × 10¹¹	3	< 0.1%
2.019 × 10¹¹	2	< 0.1%

Value	Count	Frequency (%)
2.019000588 × 10¹¹	2	< 0.1%
2.019000588 × 10¹¹	1	< 0.1%
2.019000588 × 10¹¹	1	< 0.1%
2.019000588 × 10¹¹	3	< 0.1%
2.019000588 × 10¹¹	3	< 0.1%
2.019000588 × 10¹¹	4	< 0.1%
2.019000588 × 10¹¹	4	< 0.1%
2.019000588 × 10¹¹	1	< 0.1%
2.019000588 × 10¹¹	1	< 0.1%
2.019000588 × 10¹¹	1	< 0.1%

id_vehicule
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	96650
Distinct (%)	74.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	138250880.3

Minimum	137982129
Maximum	138306525
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.2 KiB

Quantile statistics

Minimum	137982129
5-th percentile	138200945
Q1	138222930.8
median	138250979.5
Q3	138278784.2
95-th percentile	138300862.8
Maximum	138306525
Range	324396
Interquartile range (IQR)	55853.5

Descriptive statistics

Standard deviation	32349.08443
Coefficient of variation (CV)	0.0002339882708
Kurtosis	-0.306917938
Mean	138250880.3
Median Absolute Deviation (MAD)	27939
Skewness	-0.1088231655
Sum	1.79814625 × 10¹³
Variance	1046463263
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
138250566	30	< 0.1%
138212691	28	< 0.1%
138255393	25	< 0.1%
138212361	21	< 0.1%
138225436	20	< 0.1%
138266054	19	< 0.1%
138273542	18	< 0.1%
138220007	18	< 0.1%
138254819	18	< 0.1%
138232653	17	< 0.1%
Other values (96640)	129850	99.8%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
137982129	1	< 0.1%
137982130	1	< 0.1%
137982131	1	< 0.1%
137982132	1	< 0.1%
137982133	1	< 0.1%
137982134	1	< 0.1%
137982135	1	< 0.1%
137982136	1	< 0.1%
137982137	2	< 0.1%
137982138	3	< 0.1%

Value	Count	Frequency (%)
138306525	1	< 0.1%
138306524	2	< 0.1%
138306523	1	< 0.1%
138306522	1	< 0.1%
138306521	1	< 0.1%
138306520	2	< 0.1%
138306519	1	< 0.1%
138306518	2	< 0.1%
138306517	1	< 0.1%
138306516	2	< 0.1%

num_veh
Categorical

HIGH CORRELATION

Distinct	29
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

A01	78630
B01	43597
C01	5328
D01	1126
Z01	793
Other values (24)	590

Length

Max length	4
Median length	3
Mean length	3.000038443
Min length	3

Characters and Unicode

Total characters	390197
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	6 ?
Unique (%)	< 0.1%

Sample

1st row	B01
2nd row	B01
3rd row	A01
4th row	A01
5th row	A01

Common Values

Value	Count	Frequency (%)
A01	78630	60.5%
B01	43597	33.5%
C01	5328	4.1%
D01	1126	0.9%
Z01	793	0.6%
E01	272	0.2%
F01	101	0.1%
Y01	61	< 0.1%
G01	42	< 0.1%
H01	20	< 0.1%
Other values (19)	94	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
a01	78630	60.5%
b01	43597	33.5%
c01	5328	4.1%
d01	1126	0.9%
z01	793	0.6%
e01	272	0.2%
f01	101	0.1%
y01	61	< 0.1%
g01	42	< 0.1%
h01	20	< 0.1%
Other values (19)	94	0.1%

Most occurring characters

Value	Count	Frequency (%)
0	130064	33.3%
1	130064	33.3%
A	78632	20.2%
B	43599	11.2%
C	5329	1.4%
D	1126	0.3%
Z	793	0.2%
E	272	0.1%
F	102	< 0.1%
Y	61	< 0.1%
Other values (17)	155	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	260128	66.7%
Uppercase Letter	130068	33.3%
Other Punctuation	1	< 0.1%

Most frequent character per category

Uppercase Letter

Value	Count	Frequency (%)
A	78632	60.5%
B	43599	33.5%
C	5329	4.1%
D	1126	0.9%
Z	793	0.6%
E	272	0.2%
F	102	0.1%
Y	61	< 0.1%
G	42	< 0.1%
H	20	< 0.1%
Other values (14)	92	0.1%

Decimal Number

Value	Count	Frequency (%)
0	130064	50.0%
1	130064	50.0%

Other Punctuation

Value	Count	Frequency (%)
\	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	260129	66.7%
Latin	130068	33.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
A	78632	60.5%
B	43599	33.5%
C	5329	4.1%
D	1126	0.9%
Z	793	0.6%
E	272	0.2%
F	102	0.1%
Y	61	< 0.1%
G	42	< 0.1%
H	20	< 0.1%
Other values (14)	92	0.1%

Common

Value	Count	Frequency (%)
0	130064	50.0%
1	130064	50.0%
\	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390197	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	130064	33.3%
1	130064	33.3%
A	78632	20.2%
B	43599	11.2%
C	5329	1.4%
D	1126	0.3%
Z	793	0.2%
E	272	0.1%
F	102	< 0.1%
Y	61	< 0.1%
Other values (17)	155	< 0.1%

place
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

1	94966
2	15230
10	10779
Other	9089

Length

Max length	5
Median length	1
Mean length	1.362398512
Min length	1

Characters and Unicode

Total characters	177199
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	94966	73.0%
2	15230	11.7%
10	10779	8.3%
Other	9089	7.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	94966	73.0%
2	15230	11.7%
10	10779	8.3%
other	9089	7.0%

Most occurring characters

Value	Count	Frequency (%)
1	105745	59.7%
2	15230	8.6%
0	10779	6.1%
O	9089	5.1%
t	9089	5.1%
h	9089	5.1%
e	9089	5.1%
r	9089	5.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	131754	74.4%
Lowercase Letter	36356	20.5%
Uppercase Letter	9089	5.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	9089	25.0%
h	9089	25.0%
e	9089	25.0%
r	9089	25.0%

Decimal Number

Value	Count	Frequency (%)
1	105745	80.3%
2	15230	11.6%
0	10779	8.2%

Uppercase Letter

Value	Count	Frequency (%)
O	9089	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	131754	74.4%
Latin	45445	25.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	9089	20.0%
t	9089	20.0%
h	9089	20.0%
e	9089	20.0%
r	9089	20.0%

Common

Value	Count	Frequency (%)
1	105745	80.3%
2	15230	11.6%
0	10779	8.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	177199	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	105745	59.7%
2	15230	8.6%
0	10779	6.1%
O	9089	5.1%
t	9089	5.1%
h	9089	5.1%
e	9089	5.1%
r	9089	5.1%

catu
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

1	95381
2	23904
3	10779

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	130064
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
1	95381	73.3%
2	23904	18.4%
3	10779	8.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	95381	73.3%
2	23904	18.4%
3	10779	8.3%

Most occurring characters

Value	Count	Frequency (%)
1	95381	73.3%
2	23904	18.4%
3	10779	8.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	130064	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	95381	73.3%
2	23904	18.4%
3	10779	8.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	130064	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	95381	73.3%
2	23904	18.4%
3	10779	8.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	130064	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	95381	73.3%
2	23904	18.4%
3	10779	8.3%

grav
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

1	54057
4	52062
3	20497
2	3448

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	130064
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	4
2nd row	4
3rd row	1
4th row	4
5th row	1

Common Values

Value	Count	Frequency (%)
1	54057	41.6%
4	52062	40.0%
3	20497	15.8%
2	3448	2.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	54057	41.6%
4	52062	40.0%
3	20497	15.8%
2	3448	2.7%

Most occurring characters

Value	Count	Frequency (%)
1	54057	41.6%
4	52062	40.0%
3	20497	15.8%
2	3448	2.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	130064	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	54057	41.6%
4	52062	40.0%
3	20497	15.8%
2	3448	2.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	130064	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	54057	41.6%
4	52062	40.0%
3	20497	15.8%
2	3448	2.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	130064	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	54057	41.6%
4	52062	40.0%
3	20497	15.8%
2	3448	2.7%

sexe
Categorical

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

1	88398
2	41666

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	130064
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2
2nd row	2
3rd row	1
4th row	2
5th row	1

Common Values

Value	Count	Frequency (%)
1	88398	68.0%
2	41666	32.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	88398	68.0%
2	41666	32.0%

Most occurring characters

Value	Count	Frequency (%)
1	88398	68.0%
2	41666	32.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	130064	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	88398	68.0%
2	41666	32.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	130064	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
1	88398	68.0%
2	41666	32.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	130064	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	88398	68.0%
2	41666	32.0%

secu1
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

1.0	79141
2.0	23929
8.0	18823
0.0	6719
Other	1452

Length

Max length	5
Median length	3
Mean length	3.02232747
Min length	3

Characters and Unicode

Total characters	393096
Distinct characters	10
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	79141	60.8%
2.0	23929	18.4%
8.0	18823	14.5%
0.0	6719	5.2%
Other	1452	1.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	79141	60.8%
2.0	23929	18.4%
8.0	18823	14.5%
0.0	6719	5.2%
other	1452	1.1%

Most occurring characters

Value	Count	Frequency (%)
0	135331	34.4%
.	128612	32.7%
1	79141	20.1%
2	23929	6.1%
8	18823	4.8%
O	1452	0.4%
t	1452	0.4%
h	1452	0.4%
e	1452	0.4%
r	1452	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	257224	65.4%
Other Punctuation	128612	32.7%
Lowercase Letter	5808	1.5%
Uppercase Letter	1452	0.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	135331	52.6%
1	79141	30.8%
2	23929	9.3%
8	18823	7.3%

Lowercase Letter

Value	Count	Frequency (%)
t	1452	25.0%
h	1452	25.0%
e	1452	25.0%
r	1452	25.0%

Other Punctuation

Value	Count	Frequency (%)
.	128612	100.0%

Uppercase Letter

Value	Count	Frequency (%)
O	1452	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	385836	98.2%
Latin	7260	1.8%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	135331	35.1%
.	128612	33.3%
1	79141	20.5%
2	23929	6.2%
8	18823	4.9%

Latin

Value	Count	Frequency (%)
O	1452	20.0%
t	1452	20.0%
h	1452	20.0%
e	1452	20.0%
r	1452	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	393096	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	135331	34.4%
.	128612	32.7%
1	79141	20.1%
2	23929	6.1%
8	18823	4.8%
O	1452	0.4%
t	1452	0.4%
h	1452	0.4%
e	1452	0.4%
r	1452	0.4%

senc
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

1.0	57832
2.0	43681
3.0	19210
0.0	9341

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	390192
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	57832	44.5%
2.0	43681	33.6%
3.0	19210	14.8%
0.0	9341	7.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	57832	44.5%
2.0	43681	33.6%
3.0	19210	14.8%
0.0	9341	7.2%

Most occurring characters

Value	Count	Frequency (%)
0	139405	35.7%
.	130064	33.3%
1	57832	14.8%
2	43681	11.2%
3	19210	4.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	260128	66.7%
Other Punctuation	130064	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	139405	53.6%
1	57832	22.2%
2	43681	16.8%
3	19210	7.4%

Other Punctuation

Value	Count	Frequency (%)
.	130064	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390192	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	139405	35.7%
.	130064	33.3%
1	57832	14.8%
2	43681	11.2%
3	19210	4.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390192	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	139405	35.7%
.	130064	33.3%
1	57832	14.8%
2	43681	11.2%
3	19210	4.9%

catv
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

7	83492
Other	28906
33	9090
10	8576

Length

Max length	5
Median length	1
Mean length	2.024803174
Min length	1

Characters and Unicode

Total characters	263354
Distinct characters	9
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	7
2nd row	7
3rd row	Other
4th row	7
5th row	7

Common Values

Value	Count	Frequency (%)
7	83492	64.2%
Other	28906	22.2%
33	9090	7.0%
10	8576	6.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
7	83492	64.2%
other	28906	22.2%
33	9090	7.0%
10	8576	6.6%

Most occurring characters

Value	Count	Frequency (%)
7	83492	31.7%
O	28906	11.0%
t	28906	11.0%
h	28906	11.0%
e	28906	11.0%
r	28906	11.0%
3	18180	6.9%
1	8576	3.3%
0	8576	3.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	118824	45.1%
Lowercase Letter	115624	43.9%
Uppercase Letter	28906	11.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
7	83492	70.3%
3	18180	15.3%
1	8576	7.2%
0	8576	7.2%

Lowercase Letter

Value	Count	Frequency (%)
t	28906	25.0%
h	28906	25.0%
e	28906	25.0%
r	28906	25.0%

Uppercase Letter

Value	Count	Frequency (%)
O	28906	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	144530	54.9%
Common	118824	45.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	28906	20.0%
t	28906	20.0%
h	28906	20.0%
e	28906	20.0%
r	28906	20.0%

Common

Value	Count	Frequency (%)
7	83492	70.3%
3	18180	15.3%
1	8576	7.2%
0	8576	7.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	263354	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
7	83492	31.7%
O	28906	11.0%
t	28906	11.0%
h	28906	11.0%
e	28906	11.0%
r	28906	11.0%
3	18180	6.9%
1	8576	3.3%
0	8576	3.3%

obs
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

0.0	109267
Other	20797

Length

Max length	5
Median length	3
Mean length	3.319796408
Min length	3

Characters and Unicode

Total characters	431786
Distinct characters	7
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	Other
4th row	Other
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	109267	84.0%
Other	20797	16.0%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	109267	84.0%
other	20797	16.0%

Most occurring characters

Value	Count	Frequency (%)
0	218534	50.6%
.	109267	25.3%
O	20797	4.8%
t	20797	4.8%
h	20797	4.8%
e	20797	4.8%
r	20797	4.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	218534	50.6%
Other Punctuation	109267	25.3%
Lowercase Letter	83188	19.3%
Uppercase Letter	20797	4.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	20797	25.0%
h	20797	25.0%
e	20797	25.0%
r	20797	25.0%

Decimal Number

Value	Count	Frequency (%)
0	218534	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	109267	100.0%

Uppercase Letter

Value	Count	Frequency (%)
O	20797	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	327801	75.9%
Latin	103985	24.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	20797	20.0%
t	20797	20.0%
h	20797	20.0%
e	20797	20.0%
r	20797	20.0%

Common

Value	Count	Frequency (%)
0	218534	66.7%
.	109267	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	431786	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	218534	50.6%
.	109267	25.3%
O	20797	4.8%
t	20797	4.8%
h	20797	4.8%
e	20797	4.8%
r	20797	4.8%

obsm
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

2.0	83443
0.0	24752
1.0	19920
Other	1949

Length

Max length	5
Median length	3
Mean length	3.029969861
Min length	3

Characters and Unicode

Total characters	394090
Distinct characters	9
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	0.0
4th row	0.0
5th row	2.0

Common Values

Value	Count	Frequency (%)
2.0	83443	64.2%
0.0	24752	19.0%
1.0	19920	15.3%
Other	1949	1.5%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	83443	64.2%
0.0	24752	19.0%
1.0	19920	15.3%
other	1949	1.5%

Most occurring characters

Value	Count	Frequency (%)
0	152867	38.8%
.	128115	32.5%
2	83443	21.2%
1	19920	5.1%
O	1949	0.5%
t	1949	0.5%
h	1949	0.5%
e	1949	0.5%
r	1949	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	256230	65.0%
Other Punctuation	128115	32.5%
Lowercase Letter	7796	2.0%
Uppercase Letter	1949	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	1949	25.0%
h	1949	25.0%
e	1949	25.0%
r	1949	25.0%

Decimal Number

Value	Count	Frequency (%)
0	152867	59.7%
2	83443	32.6%
1	19920	7.8%

Other Punctuation

Value	Count	Frequency (%)
.	128115	100.0%

Uppercase Letter

Value	Count	Frequency (%)
O	1949	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	384345	97.5%
Latin	9745	2.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	1949	20.0%
t	1949	20.0%
h	1949	20.0%
e	1949	20.0%
r	1949	20.0%

Common

Value	Count	Frequency (%)
0	152867	39.8%
.	128115	33.3%
2	83443	21.7%
1	19920	5.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	394090	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	152867	38.8%
.	128115	32.5%
2	83443	21.2%
1	19920	5.1%
O	1949	0.5%
t	1949	0.5%
h	1949	0.5%
e	1949	0.5%
r	1949	0.5%

choc
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

1.0	47042
Other	33004
3.0	19767
2.0	16899
4.0	13352

Length

Max length	5
Median length	3
Mean length	3.507503998
Min length	3

Characters and Unicode

Total characters	456200
Distinct characters	11
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Other
2nd row	Other
3rd row	3.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	47042	36.2%
Other	33004	25.4%
3.0	19767	15.2%
2.0	16899	13.0%
4.0	13352	10.3%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	47042	36.2%
other	33004	25.4%
3.0	19767	15.2%
2.0	16899	13.0%
4.0	13352	10.3%

Most occurring characters

Value	Count	Frequency (%)
.	97060	21.3%
0	97060	21.3%
1	47042	10.3%
O	33004	7.2%
t	33004	7.2%
h	33004	7.2%
e	33004	7.2%
r	33004	7.2%
3	19767	4.3%
2	16899	3.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	194120	42.6%
Lowercase Letter	132016	28.9%
Other Punctuation	97060	21.3%
Uppercase Letter	33004	7.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	97060	50.0%
1	47042	24.2%
3	19767	10.2%
2	16899	8.7%
4	13352	6.9%

Lowercase Letter

Value	Count	Frequency (%)
t	33004	25.0%
h	33004	25.0%
e	33004	25.0%
r	33004	25.0%

Uppercase Letter

Value	Count	Frequency (%)
O	33004	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	97060	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	291180	63.8%
Latin	165020	36.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	97060	33.3%
0	97060	33.3%
1	47042	16.2%
3	19767	6.8%
2	16899	5.8%
4	13352	4.6%

Latin

Value	Count	Frequency (%)
O	33004	20.0%
t	33004	20.0%
h	33004	20.0%
e	33004	20.0%
r	33004	20.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	456200	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	97060	21.3%
0	97060	21.3%
1	47042	10.3%
O	33004	7.2%
t	33004	7.2%
h	33004	7.2%
e	33004	7.2%
r	33004	7.2%
3	19767	4.3%
2	16899	3.7%

manv
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

1.0	54636
Other	50681
2.0	14566
15.0	10181

Length

Max length	5
Median length	3
Mean length	3.857600873
Min length	3

Characters and Unicode

Total characters	501735
Distinct characters	10
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Other
2nd row	Other
3rd row	Other
4th row	Other
5th row	2.0

Common Values

Value	Count	Frequency (%)
1.0	54636	42.0%
Other	50681	39.0%
2.0	14566	11.2%
15.0	10181	7.8%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	54636	42.0%
other	50681	39.0%
2.0	14566	11.2%
15.0	10181	7.8%

Most occurring characters

Value	Count	Frequency (%)
.	79383	15.8%
0	79383	15.8%
1	64817	12.9%
O	50681	10.1%
t	50681	10.1%
h	50681	10.1%
e	50681	10.1%
r	50681	10.1%
2	14566	2.9%
5	10181	2.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	202724	40.4%
Decimal Number	168947	33.7%
Other Punctuation	79383	15.8%
Uppercase Letter	50681	10.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	50681	25.0%
h	50681	25.0%
e	50681	25.0%
r	50681	25.0%

Decimal Number

Value	Count	Frequency (%)
0	79383	47.0%
1	64817	38.4%
2	14566	8.6%
5	10181	6.0%

Uppercase Letter

Value	Count	Frequency (%)
O	50681	100.0%

Other Punctuation

Value	Count	Frequency (%)
.	79383	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	253405	50.5%
Common	248330	49.5%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	50681	20.0%
t	50681	20.0%
h	50681	20.0%
e	50681	20.0%
r	50681	20.0%

Common

Value	Count	Frequency (%)
.	79383	32.0%
0	79383	32.0%
1	64817	26.1%
2	14566	5.9%
5	10181	4.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	501735	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	79383	15.8%
0	79383	15.8%
1	64817	12.9%
O	50681	10.1%
t	50681	10.1%
h	50681	10.1%
e	50681	10.1%
r	50681	10.1%
2	14566	2.9%
5	10181	2.0%

mois
Real number (ℝ_≥0)

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	6.683917148

Minimum	1
Maximum	12
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	4
median	7
Q3	10
95-th percentile	12
Maximum	12
Range	11
Interquartile range (IQR)	6

Descriptive statistics

Standard deviation	3.381499601
Coefficient of variation (CV)	0.5059158464
Kurtosis	-1.158325996
Mean	6.683917148
Median Absolute Deviation (MAD)	3
Skewness	-0.06476184856
Sum	869337
Variance	11.43453955
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
7	12282	9.4%
6	12183	9.4%
10	11762	9.0%
9	11602	8.9%
12	11132	8.6%
11	10826	8.3%
5	10639	8.2%
3	10317	7.9%
8	10313	7.9%
4	10150	7.8%
Other values (2)	18858	14.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	9409	7.2%
2	9449	7.3%
3	10317	7.9%
4	10150	7.8%
5	10639	8.2%
6	12183	9.4%
7	12282	9.4%
8	10313	7.9%
9	11602	8.9%
10	11762	9.0%

Value	Count	Frequency (%)
12	11132	8.6%
11	10826	8.3%
10	11762	9.0%
9	11602	8.9%
8	10313	7.9%
7	12282	9.4%
6	12183	9.4%
5	10639	8.2%
4	10150	7.8%
3	10317	7.9%

lum
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

1	86683
5	20575
3	13524
Other	9282

Length

Max length	5
Median length	1
Mean length	1.285459466
Min length	1

Characters and Unicode

Total characters	167192
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Other
2nd row	Other
3rd row	Other
4th row	3
5th row	1

Common Values

Value	Count	Frequency (%)
1	86683	66.6%
5	20575	15.8%
3	13524	10.4%
Other	9282	7.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1	86683	66.6%
5	20575	15.8%
3	13524	10.4%
other	9282	7.1%

Most occurring characters

Value	Count	Frequency (%)
1	86683	51.8%
5	20575	12.3%
3	13524	8.1%
O	9282	5.6%
t	9282	5.6%
h	9282	5.6%
e	9282	5.6%
r	9282	5.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	120782	72.2%
Lowercase Letter	37128	22.2%
Uppercase Letter	9282	5.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	9282	25.0%
h	9282	25.0%
e	9282	25.0%
r	9282	25.0%

Decimal Number

Value	Count	Frequency (%)
1	86683	71.8%
5	20575	17.0%
3	13524	11.2%

Uppercase Letter

Value	Count	Frequency (%)
O	9282	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	120782	72.2%
Latin	46410	27.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
O	9282	20.0%
t	9282	20.0%
h	9282	20.0%
e	9282	20.0%
r	9282	20.0%

Common

Value	Count	Frequency (%)
1	86683	71.8%
5	20575	17.0%
3	13524	11.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	167192	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
1	86683	51.8%
5	20575	12.3%
3	13524	8.1%
O	9282	5.6%
t	9282	5.6%
h	9282	5.6%
e	9282	5.6%
r	9282	5.6%

dep
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

Other	91278
Ile de france	27425
Paris	11361

Length

Max length	13
Median length	5
Mean length	6.686861853
Min length	5

Characters and Unicode

Total characters	869720
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Ile de france
2nd row	Ile de france
3rd row	Ile de france
4th row	Ile de france
5th row	Ile de france

Common Values

Value	Count	Frequency (%)
Other	91278	70.2%
Ile de france	27425	21.1%
Paris	11361	8.7%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
other	91278	49.4%
france	27425	14.8%
de	27425	14.8%
ile	27425	14.8%
paris	11361	6.1%

Most occurring characters

Value	Count	Frequency (%)
e	173553	20.0%
r	130064	15.0%
O	91278	10.5%
t	91278	10.5%
h	91278	10.5%
	54850	6.3%
a	38786	4.5%
I	27425	3.2%
l	27425	3.2%
d	27425	3.2%
Other values (6)	116358	13.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	684806	78.7%
Uppercase Letter	130064	15.0%
Space Separator	54850	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	173553	25.3%
r	130064	19.0%
t	91278	13.3%
h	91278	13.3%
a	38786	5.7%
l	27425	4.0%
d	27425	4.0%
f	27425	4.0%
n	27425	4.0%
c	27425	4.0%
Other values (2)	22722	3.3%

Uppercase Letter

Value	Count	Frequency (%)
O	91278	70.2%
I	27425	21.1%
P	11361	8.7%

Space Separator

Value	Count	Frequency (%)
	54850	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	814870	93.7%
Common	54850	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	173553	21.3%
r	130064	16.0%
O	91278	11.2%
t	91278	11.2%
h	91278	11.2%
a	38786	4.8%
I	27425	3.4%
l	27425	3.4%
d	27425	3.4%
f	27425	3.4%
Other values (5)	88933	10.9%

Common

Value	Count	Frequency (%)
	54850	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	869720	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	173553	20.0%
r	130064	15.0%
O	91278	10.5%
t	91278	10.5%
h	91278	10.5%
	54850	6.3%
a	38786	4.5%
I	27425	3.2%
l	27425	3.2%
d	27425	3.2%
Other values (6)	116358	13.4%

agg
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

2	80534
1	49530

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	130064
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Common Values

Value	Count	Frequency (%)
2	80534	61.9%
1	49530	38.1%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2	80534	61.9%
1	49530	38.1%

Most occurring characters

Value	Count	Frequency (%)
2	80534	61.9%
1	49530	38.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	130064	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	80534	61.9%
1	49530	38.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	130064	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	80534	61.9%
1	49530	38.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	130064	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	80534	61.9%
1	49530	38.1%

int
Real number (ℝ_≥0)

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.005166687

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	2
95-th percentile	7
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.972474854
Coefficient of variation (CV)	0.9836962019
Kurtosis	5.145903927
Mean	2.005166687
Median Absolute Deviation (MAD)	0
Skewness	2.409376989
Sum	260800
Variance	3.890657051
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	85566	65.8%
2	16071	12.4%
3	13382	10.3%
9	5710	4.4%
6	4389	3.4%
4	2743	2.1%
7	1421	1.1%
5	651	0.5%
8	131	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	85566	65.8%
2	16071	12.4%
3	13382	10.3%
4	2743	2.1%
5	651	0.5%
6	4389	3.4%
7	1421	1.1%
8	131	0.1%
9	5710	4.4%

Value	Count	Frequency (%)
9	5710	4.4%
8	131	0.1%
7	1421	1.1%
6	4389	3.4%
5	651	0.5%
4	2743	2.1%
3	13382	10.3%
2	16071	12.4%
1	85566	65.8%

atm
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.612306249

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	7
Maximum	9
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.669200661
Coefficient of variation (CV)	1.035287596
Kurtosis	8.961533638
Mean	1.612306249
Median Absolute Deviation (MAD)	0
Skewness	3.167991263
Sum	209703
Variance	2.786230847
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	103079	79.3%
2	14413	11.1%
8	4805	3.7%
3	3159	2.4%
7	2292	1.8%
5	720	0.6%
9	629	0.5%
4	613	0.5%
6	354	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	103079	79.3%
2	14413	11.1%
3	3159	2.4%
4	613	0.5%
5	720	0.6%
6	354	0.3%
7	2292	1.8%
8	4805	3.7%
9	629	0.5%

Value	Count	Frequency (%)
9	629	0.5%
8	4805	3.7%
7	2292	1.8%
6	354	0.3%
5	720	0.6%
4	613	0.5%
3	3159	2.4%
2	14413	11.1%
1	103079	79.3%

col
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.881858162

Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	3
Q3	6
95-th percentile	7
Maximum	7
Range	6
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.863094927
Coefficient of variation (CV)	0.4799492534
Kurtosis	-1.283105568
Mean	3.881858162
Median Absolute Deviation (MAD)	1
Skewness	0.1360574179
Sum	504890
Variance	3.471122706
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
3	39449	30.3%
6	33711	25.9%
2	17649	13.6%
1	13785	10.6%
4	9160	7.0%
7	8502	6.5%
5	7808	6.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	13785	10.6%
2	17649	13.6%
3	39449	30.3%
4	9160	7.0%
5	7808	6.0%
6	33711	25.9%
7	8502	6.5%

Value	Count	Frequency (%)
7	8502	6.5%
6	33711	25.9%
5	7808	6.0%
4	9160	7.0%
3	39449	30.3%
2	17649	13.6%
1	13785	10.6%

lat
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	54505
Distinct (%)	41.9%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

48,8100000	48
43,1213200	47
48,7900000	45
48,9100000	33
43,1334900	33
Other values (54500)	129858

Length

Max length	12
Median length	10
Mean length	10.04483178
Min length	9

Characters and Unicode

Total characters	1306471
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10555 ?
Unique (%)	8.1%

Sample

1st row	48,8962100
2nd row	48,8962100
3rd row	48,8962100
4th row	48,9307000
5th row	48,9358718

Common Values

Value	Count	Frequency (%)
48,8100000	48	< 0.1%
43,1213200	47	< 0.1%
48,7900000	45	< 0.1%
48,9100000	33	< 0.1%
43,1334900	33	< 0.1%
43,1578850	30	< 0.1%
49,8784070	28	< 0.1%
43,1434000	28	< 0.1%
48,8200000	28	< 0.1%
15,9935700	25	< 0.1%
Other values (54495)	129719	99.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
48,8100000	48	< 0.1%
43,1213200	47	< 0.1%
48,7900000	45	< 0.1%
43,1334900	33	< 0.1%
48,9100000	33	< 0.1%
43,1578850	30	< 0.1%
48,8200000	28	< 0.1%
49,8784070	28	< 0.1%
43,1434000	28	< 0.1%
15,9935700	25	< 0.1%
Other values (54495)	129719	99.7%

Most occurring characters

Value	Count	Frequency (%)
0	249197	19.1%
4	198217	15.2%
8	138766	10.6%
,	130064	10.0%
3	90964	7.0%
7	88350	6.8%
9	87001	6.7%
5	86854	6.6%
6	81842	6.3%
2	76568	5.9%
Other values (3)	78648	6.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1169641	89.5%
Other Punctuation	130064	10.0%
Space Separator	3383	0.3%
Dash Punctuation	3383	0.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	249197	21.3%
4	198217	16.9%
8	138766	11.9%
3	90964	7.8%
7	88350	7.6%
9	87001	7.4%
5	86854	7.4%
6	81842	7.0%
2	76568	6.5%
1	71882	6.1%

Other Punctuation

Value	Count	Frequency (%)
,	130064	100.0%

Space Separator

Value	Count	Frequency (%)
	3383	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	3383	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1306471	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	249197	19.1%
4	198217	15.2%
8	138766	10.6%
,	130064	10.0%
3	90964	7.0%
7	88350	6.8%
9	87001	6.7%
5	86854	6.6%
6	81842	6.3%
2	76568	5.9%
Other values (3)	78648	6.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1306471	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	249197	19.1%
4	198217	15.2%
8	138766	10.6%
,	130064	10.0%
3	90964	7.0%
7	88350	6.8%
9	87001	6.7%
5	86854	6.6%
6	81842	6.3%
2	76568	5.9%
Other values (3)	78648	6.0%

long
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	55046
Distinct (%)	42.3%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

5,9533100	47
2,4900000	35
5,9847600	33
2,8563670	30
2,4400000	30
Other values (55041)	129889

Length

Max length	13
Median length	9
Mean length	9.398134764
Min length	9

Characters and Unicode

Total characters	1222359
Distinct characters	13
Distinct categories	4 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10695 ?
Unique (%)	8.2%

Sample

1st row	2,4701200
2nd row	2,4701200
3rd row	2,4701200
4th row	2,3688000
5th row	2,3191744

Common Values

Value	Count	Frequency (%)
5,9533100	47	< 0.1%
2,4900000	35	< 0.1%
5,9847600	33	< 0.1%
2,8563670	30	< 0.1%
2,4400000	30	< 0.1%
2,8373390	28	< 0.1%
6,0142000	28	< 0.1%
2,3467600	27	< 0.1%
5,4000000	26	< 0.1%
-61,7250900	25	< 0.1%
Other values (55036)	129755	99.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
5,9533100	47	< 0.1%
2,4900000	35	< 0.1%
5,9847600	33	< 0.1%
2,8563670	30	< 0.1%
2,4400000	30	< 0.1%
2,8373390	28	< 0.1%
6,0142000	28	< 0.1%
2,3467600	27	< 0.1%
5,4000000	26	< 0.1%
61,7250900	25	< 0.1%
Other values (54923)	129755	99.8%

Most occurring characters

Value	Count	Frequency (%)
0	262385	21.5%
,	130064	10.6%
2	122514	10.0%
4	95015	7.8%
3	93663	7.7%
5	90265	7.4%
1	89245	7.3%
6	79920	6.5%
7	73837	6.0%
8	72078	5.9%
Other values (3)	113373	9.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1048159	85.7%
Other Punctuation	130064	10.6%
Space Separator	22068	1.8%
Dash Punctuation	22068	1.8%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	262385	25.0%
2	122514	11.7%
4	95015	9.1%
3	93663	8.9%
5	90265	8.6%
1	89245	8.5%
6	79920	7.6%
7	73837	7.0%
8	72078	6.9%
9	69237	6.6%

Other Punctuation

Value	Count	Frequency (%)
,	130064	100.0%

Space Separator

Value	Count	Frequency (%)
	22068	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	22068	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1222359	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	262385	21.5%
,	130064	10.6%
2	122514	10.0%
4	95015	7.8%
3	93663	7.7%
5	90265	7.4%
1	89245	7.3%
6	79920	6.5%
7	73837	6.0%
8	72078	5.9%
Other values (3)	113373	9.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1222359	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	262385	21.5%
,	130064	10.6%
2	122514	10.0%
4	95015	7.8%
3	93663	7.7%
5	90265	7.4%
1	89245	7.3%
6	79920	6.5%
7	73837	6.0%
8	72078	5.9%
Other values (3)	113373	9.3%

catr
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	8
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.257188769

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	3
Q3	4
95-th percentile	4
Maximum	9
Range	8
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.277307845
Coefficient of variation (CV)	0.3921503897
Kurtosis	3.807024033
Mean	3.257188769
Median Absolute Deviation (MAD)	1
Skewness	0.7871381834
Sum	423643
Variance	1.631515331
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
4	53658	41.3%
3	46471	35.7%
1	15686	12.1%
2	9485	7.3%
7	2895	2.2%
9	1205	0.9%
6	512	0.4%
5	152	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	15686	12.1%
2	9485	7.3%
3	46471	35.7%
4	53658	41.3%
5	152	0.1%
6	512	0.4%
7	2895	2.2%
9	1205	0.9%

Value	Count	Frequency (%)
9	1205	0.9%
7	2895	2.2%
6	512	0.4%
5	152	0.1%
4	53658	41.3%
3	46471	35.7%
2	9485	7.3%
1	15686	12.1%

circ
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

2.0	85498
1.0	22635
3.0	21118
4.0	813

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	390192
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3.0
2nd row	3.0
3rd row	3.0
4th row	1.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
2.0	85498	65.7%
1.0	22635	17.4%
3.0	21118	16.2%
4.0	813	0.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
2.0	85498	65.7%
1.0	22635	17.4%
3.0	21118	16.2%
4.0	813	0.6%

Most occurring characters

Value	Count	Frequency (%)
.	130064	33.3%
0	130064	33.3%
2	85498	21.9%
1	22635	5.8%
3	21118	5.4%
4	813	0.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	260128	66.7%
Other Punctuation	130064	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	130064	50.0%
2	85498	32.9%
1	22635	8.7%
3	21118	8.1%
4	813	0.3%

Other Punctuation

Value	Count	Frequency (%)
.	130064	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390192	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	130064	33.3%
0	130064	33.3%
2	85498	21.9%
1	22635	5.8%
3	21118	5.4%
4	813	0.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390192	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	130064	33.3%
0	130064	33.3%
2	85498	21.9%
1	22635	5.8%
3	21118	5.4%
4	813	0.2%

nbv
Real number (ℝ_≥0)

HIGH CORRELATION
ZEROS

Distinct	13
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2.51410075

Minimum	0
Maximum	12
Zeros	3427
Zeros (%)	2.6%
Negative	0
Negative (%)	0.0%
Memory size	1016.2 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	2
median	2
Q3	3
95-th percentile	6
Maximum	12
Range	12
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.446391638
Coefficient of variation (CV)	0.5753117244
Kurtosis	6.204542419
Mean	2.51410075
Median Absolute Deviation (MAD)	0
Skewness	2.014683938
Sum	326994
Variance	2.09204877
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
2	78082	60.0%
4	16816	12.9%
1	11778	9.1%
3	10641	8.2%
6	4017	3.1%
0	3427	2.6%
5	2599	2.0%
8	1326	1.0%
7	527	0.4%
10	407	0.3%
Other values (3)	444	0.3%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	3427	2.6%
1	11778	9.1%
2	78082	60.0%
3	10641	8.2%
4	16816	12.9%
5	2599	2.0%
6	4017	3.1%
7	527	0.4%
8	1326	1.0%
9	279	0.2%

Value	Count	Frequency (%)
12	75	0.1%
11	90	0.1%
10	407	0.3%
9	279	0.2%
8	1326	1.0%
7	527	0.4%
6	4017	3.1%
5	2599	2.0%
4	16816	12.9%
3	10641	8.2%

vosp
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

0.0	120392
1.0	4035
3.0	3762
2.0	1875

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	390192
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	120392	92.6%
1.0	4035	3.1%
3.0	3762	2.9%
2.0	1875	1.4%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
0.0	120392	92.6%
1.0	4035	3.1%
3.0	3762	2.9%
2.0	1875	1.4%

Most occurring characters

Value	Count	Frequency (%)
0	250456	64.2%
.	130064	33.3%
1	4035	1.0%
3	3762	1.0%
2	1875	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	260128	66.7%
Other Punctuation	130064	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	250456	96.3%
1	4035	1.6%
3	3762	1.4%
2	1875	0.7%

Other Punctuation

Value	Count	Frequency (%)
.	130064	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390192	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	250456	64.2%
.	130064	33.3%
1	4035	1.0%
3	3762	1.0%
2	1875	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390192	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	250456	64.2%
.	130064	33.3%
1	4035	1.0%
3	3762	1.0%
2	1875	0.5%

prof
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

1.0	104896
2.0	20803
3.0	2312
4.0	2053

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	390192
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	4.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	104896	80.6%
2.0	20803	16.0%
3.0	2312	1.8%
4.0	2053	1.6%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	104896	80.6%
2.0	20803	16.0%
3.0	2312	1.8%
4.0	2053	1.6%

Most occurring characters

Value	Count	Frequency (%)
.	130064	33.3%
0	130064	33.3%
1	104896	26.9%
2	20803	5.3%
3	2312	0.6%
4	2053	0.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	260128	66.7%
Other Punctuation	130064	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	130064	50.0%
1	104896	40.3%
2	20803	8.0%
3	2312	0.9%
4	2053	0.8%

Other Punctuation

Value	Count	Frequency (%)
.	130064	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390192	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	130064	33.3%
0	130064	33.3%
1	104896	26.9%
2	20803	5.3%
3	2312	0.6%
4	2053	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390192	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	130064	33.3%
0	130064	33.3%
1	104896	26.9%
2	20803	5.3%
3	2312	0.6%
4	2053	0.5%

plan
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	1016.2 KiB

1.0	106490
2.0	11069
3.0	10899
4.0	1606

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	390192
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2.0
2nd row	2.0
3rd row	2.0
4th row	2.0
5th row	3.0

Common Values

Value	Count	Frequency (%)
1.0	106490	81.9%
2.0	11069	8.5%
3.0	10899	8.4%
4.0	1606	1.2%

Length

Histogram of lengths of the category

Pie chart

Value	Count	Frequency (%)
1.0	106490	81.9%
2.0	11069	8.5%
3.0	10899	8.4%
4.0	1606	1.2%

Most occurring characters

Value	Count	Frequency (%)
.	130064	33.3%
0	130064	33.3%
1	106490	27.3%
2	11069	2.8%
3	10899	2.8%
4	1606	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	260128	66.7%
Other Punctuation	130064	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	130064	50.0%
1	106490	40.9%
2	11069	4.3%
3	10899	4.2%
4	1606	0.6%

Other Punctuation

Value	Count	Frequency (%)
.	130064	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	390192	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
.	130064	33.3%
0	130064	33.3%
1	106490	27.3%
2	11069	2.8%
3	10899	2.8%
4	1606	0.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	390192	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
.	130064	33.3%
0	130064	33.3%
1	106490	27.3%
2	11069	2.8%
3	10899	2.8%
4	1606	0.4%

surf
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	9
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.267652848

Minimum	1
Maximum	9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	2
Maximum	9
Range	8
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	0.8101430081
Coefficient of variation (CV)	0.6390890136
Kurtosis	52.60434636
Mean	1.267652848
Median Absolute Deviation (MAD)	0
Skewness	6.489757104
Sum	164876
Variance	0.6563316936
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=9)

Value	Count	Frequency (%)
1	104116	80.0%
2	24133	18.6%
9	604	0.5%
7	431	0.3%
5	255	0.2%
3	228	0.2%
8	195	0.1%
6	57	< 0.1%
4	45	< 0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	104116	80.0%
2	24133	18.6%
3	228	0.2%
4	45	< 0.1%
5	255	0.2%
6	57	< 0.1%
7	431	0.3%
8	195	0.1%
9	604	0.5%

Value	Count	Frequency (%)
9	604	0.5%
8	195	0.1%
7	431	0.3%
6	57	< 0.1%
5	255	0.2%
4	45	< 0.1%
3	228	0.2%
2	24133	18.6%
1	104116	80.0%

infra
Real number (ℝ_≥0)

ZEROS

Distinct	10
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	0.8636132981

Minimum	0
Maximum	9
Zeros	108372
Zeros (%)	83.3%
Negative	0
Negative (%)	0.0%
Memory size	1016.2 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	6
Maximum	9
Range	9
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2.204630496
Coefficient of variation (CV)	2.552798227
Kurtosis	5.753888973
Mean	0.8636132981
Median Absolute Deviation (MAD)	0
Skewness	2.607570011
Sum	112325
Variance	4.860395626
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
0	108372	83.3%
5	7641	5.9%
9	4715	3.6%
2	2651	2.0%
3	2020	1.6%
1	1792	1.4%
8	1124	0.9%
6	1123	0.9%
4	527	0.4%
7	99	0.1%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	108372	83.3%
1	1792	1.4%
2	2651	2.0%
3	2020	1.6%
4	527	0.4%
5	7641	5.9%
6	1123	0.9%
7	99	0.1%
8	1124	0.9%
9	4715	3.6%

Value	Count	Frequency (%)
9	4715	3.6%
8	1124	0.9%
7	99	0.1%
6	1123	0.9%
5	7641	5.9%
4	527	0.4%
3	2020	1.6%
2	2651	2.0%
1	1792	1.4%
0	108372	83.3%

situ
Real number (ℝ_≥0)

Distinct	7
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.327200455

Minimum	1
Maximum	8
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.2 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	1
95-th percentile	3
Maximum	8
Range	7
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	1.117083132
Coefficient of variation (CV)	0.8416838073
Kurtosis	19.71290706
Mean	1.327200455
Median Absolute Deviation (MAD)	0
Skewness	4.270393668
Sum	172621
Variance	1.247874724
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
1	115568	88.9%
3	7488	5.8%
2	2012	1.5%
8	1959	1.5%
4	1154	0.9%
5	1021	0.8%
6	862	0.7%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	115568	88.9%
2	2012	1.5%
3	7488	5.8%
4	1154	0.9%
5	1021	0.8%
6	862	0.7%
8	1959	1.5%

Value	Count	Frequency (%)
8	1959	1.5%
6	862	0.7%
5	1021	0.8%
4	1154	0.9%
3	7488	5.8%
2	2012	1.5%
1	115568	88.9%

vma
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	20
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	62.36531246

Minimum	10
Maximum	130
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	1016.2 KiB

Quantile statistics

Minimum	10
5-th percentile	30
Q1	50
median	50
Q3	80
95-th percentile	110
Maximum	130
Range	120
Interquartile range (IQR)	30

Descriptive statistics

Standard deviation	22.26504736
Coefficient of variation (CV)	0.3570101148
Kurtosis	1.010881015
Mean	62.36531246
Median Absolute Deviation (MAD)	0
Skewness	1.094829439
Sum	8111482
Variance	495.7323339
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=20)

Value	Count	Frequency (%)
50	72535	55.8%
80	20206	15.5%
70	9885	7.6%
90	8710	6.7%
30	7965	6.1%
110	5638	4.3%
130	3713	2.9%
60	481	0.4%
10	343	0.3%
20	282	0.2%
Other values (10)	306	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
10	343	0.3%
12	2	< 0.1%
15	61	< 0.1%
20	282	0.2%
25	19	< 0.1%
30	7965	6.1%
35	11	< 0.1%
40	120	0.1%
42	4	< 0.1%
45	53	< 0.1%

Value	Count	Frequency (%)
130	3713	2.9%
120	2	< 0.1%
110	5638	4.3%
100	30	< 0.1%
90	8710	6.7%
80	20206	15.5%
70	9885	7.6%
65	4	< 0.1%
60	481	0.4%
50	72535	55.8%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Count
Matrix

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

First rows

	Num_Acc	id_vehicule	num_veh	place	catu	grav	sexe	secu1	senc	catv	obs	obsm	choc	manv	mois	lum	dep	agg	int	atm	col	lat	long	catr	circ	nbv	prof	plan	surf	infra	situ	vma
0	201900000001	138306524	B01	2	2	4	2	1.0	2.0	7	0.0	2.0	Other	Other	11	Other	Ile de france	1	1	1.0	2.0	48,8962100	2,4701200	1	3.0	10.0	1.0	2.0	1.0	2.0	1.0	70
1	201900000001	138306524	B01	1	1	4	2	1.0	2.0	7	0.0	2.0	Other	Other	11	Other	Ile de france	1	1	1.0	2.0	48,8962100	2,4701200	1	3.0	10.0	1.0	2.0	1.0	2.0	1.0	70
2	201900000001	138306525	A01	1	1	1	1	1.0	2.0	Other	Other	0.0	3.0	Other	11	Other	Ile de france	1	1	1.0	2.0	48,8962100	2,4701200	1	3.0	10.0	1.0	2.0	1.0	2.0	1.0	70
3	201900000002	138306523	A01	1	1	4	2	1.0	1.0	7	Other	0.0	1.0	Other	11	3	Ile de france	1	1	1.0	6.0	48,9307000	2,3688000	1	1.0	2.0	4.0	2.0	1.0	0.0	1.0	70
4	201900000003	138306520	A01	1	1	1	1	1.0	1.0	7	0.0	2.0	1.0	2.0	11	1	Ile de france	1	1	1.0	4.0	48,9358718	2,3191744	1	3.0	8.0	1.0	3.0	1.0	0.0	1.0	90
5	201900000003	138306520	A01	2	2	4	2	1.0	1.0	7	0.0	2.0	1.0	2.0	11	1	Ile de france	1	1	1.0	4.0	48,9358718	2,3191744	1	3.0	8.0	1.0	3.0	1.0	0.0	1.0	90
6	201900000003	138306521	B01	1	1	4	1	1.0	1.0	7	Other	0.0	4.0	2.0	11	1	Ile de france	1	1	1.0	4.0	48,9358718	2,3191744	1	3.0	8.0	1.0	3.0	1.0	0.0	1.0	90
7	201900000003	138306522	C01	1	1	1	1	1.0	1.0	7	0.0	2.0	4.0	Other	11	1	Ile de france	1	1	1.0	4.0	48,9358718	2,3191744	1	3.0	8.0	1.0	3.0	1.0	0.0	1.0	90
8	201900000004	138306517	A01	1	1	1	1	1.0	2.0	7	0.0	2.0	4.0	Other	11	5	Ile de france	1	1	1.0	4.0	48,8173295	2,4281502	1	3.0	5.0	1.0	1.0	1.0	0.0	1.0	90
9	201900000004	138306518	B01	1	1	1	1	1.0	2.0	7	0.0	2.0	4.0	Other	11	5	Ile de france	1	1	1.0	4.0	48,8173295	2,4281502	1	3.0	5.0	1.0	1.0	1.0	0.0	1.0	90

Last rows

	Num_Acc	id_vehicule	num_veh	place	catu	grav	sexe	secu1	senc	catv	obs	obsm	choc	manv	mois	lum	dep	agg	int	atm	col	lat	long	catr	circ	nbv	prof	plan	surf	infra	situ	vma
130054	201900058836	137982136	B01	1	1	4	1	1.0	2.0	7	0.0	2.0	Other	Other	11	1	Other	1	1	5.0	2.0	45,6666600	5,0561200	1	1.0	3.0	1.0	1.0	2.0	3.0	1.0	130
130055	201900058836	137982137	A01	1	1	4	1	1.0	2.0	7	Other	2.0	1.0	Other	11	1	Other	1	1	5.0	2.0	45,6666600	5,0561200	1	1.0	3.0	1.0	1.0	2.0	3.0	1.0	130
130056	201900058836	137982137	A01	2	2	4	1	1.0	2.0	7	Other	2.0	1.0	Other	11	1	Other	1	1	5.0	2.0	45,6666600	5,0561200	1	1.0	3.0	1.0	1.0	2.0	3.0	1.0	130
130057	201900058837	137982133	A01	1	1	1	2	1.0	1.0	7	0.0	2.0	4.0	2.0	11	1	Other	1	1	8.0	4.0	48,5769000	7,7269000	1	1.0	2.0	1.0	1.0	2.0	0.0	1.0	90
130058	201900058837	137982134	B01	1	1	4	1	1.0	1.0	7	0.0	2.0	1.0	2.0	11	1	Other	1	1	8.0	4.0	48,5769000	7,7269000	1	1.0	2.0	1.0	1.0	2.0	0.0	1.0	90
130059	201900058837	137982135	C01	1	1	4	2	1.0	1.0	7	0.0	2.0	1.0	2.0	11	1	Other	1	1	8.0	4.0	48,5769000	7,7269000	1	1.0	2.0	1.0	1.0	2.0	0.0	1.0	90
130060	201900058838	137982132	A01	1	1	4	1	1.0	2.0	7	Other	0.0	1.0	Other	11	Other	Ile de france	1	1	1.0	6.0	48,7717000	2,3457600	1	3.0	3.0	1.0	1.0	1.0	0.0	1.0	90
130061	201900058839	137982131	A01	1	1	3	1	2.0	2.0	33	0.0	0.0	Other	1.0	11	1	Ile de france	1	1	1.0	7.0	48,7772890	2,2237590	1	1.0	1.0	1.0	3.0	1.0	0.0	1.0	50
130062	201900058840	137982129	B01	1	1	4	1	1.0	1.0	10	0.0	2.0	4.0	Other	11	3	Ile de france	1	1	1.0	2.0	48,8351236	2,1751101	1	1.0	3.0	1.0	1.0	1.0	0.0	2.0	110
130063	201900058840	137982130	A01	1	1	1	1	1.0	1.0	10	0.0	2.0	1.0	Other	11	3	Ile de france	1	1	1.0	2.0	48,8351236	2,1751101	1	1.0	3.0	1.0	1.0	1.0	0.0	2.0	110

Most frequently occurring

	Num_Acc	id_vehicule	num_veh	place	catu	grav	sexe	secu1	senc	catv	obs	obsm	choc	manv	mois	lum	dep	agg	int	atm	col	lat	long	catr	circ	nbv	vosp	prof	plan	surf	infra	situ	vma	# duplicates
710	201900027084	138255393	A01	10	3	4	2	8.0	2.0	10	Other	1.0	2.0	Other	3	5	Other	2	1	2.0	6.0	15,9935700	-61,7250900	4	2.0	2.0	0.0	2.0	1.0	2.0	0.0	1.0	50	13
716	201900027368	138254819	A01	Other	2	1	1	0.0	3.0	Other	Other	0.0	Other	Other	11	1	Other	1	1	8.0	6.0	44,3164450	1,7155020	9	2.0	2.0	0.0	2.0	2.0	1.0	0.0	3.0	50	12
1451	201900054644	138203344	B01	Other	2	4	2	8.0	0.0	Other	0.0	2.0	1.0	1.0	12	1	Ile de france	2	1	1.0	1.0	48,7597300	2,3467600	9	2.0	2.0	3.0	1.0	3.0	7.0	2.0	1.0	50	12
72	201900003323	138300270	A01	Other	2	1	1	1.0	1.0	Other	0.0	2.0	3.0	Other	6	1	Other	1	1	8.0	1.0	45,2339207	1,4252776	3	2.0	2.0	0.0	1.0	1.0	1.0	0.0	1.0	90	11
1143	201900043950	138223560	B01	Other	2	4	2	8.0	2.0	Other	0.0	2.0	3.0	15.0	6	1	Other	2	6	1.0	6.0	14,6140500	-61,0518100	1	2.0	4.0	3.0	1.0	1.0	1.0	3.0	1.0	50	10
1329	201900049861	138212361	B01	Other	2	1	2	1.0	1.0	Other	0.0	2.0	3.0	1.0	1	1	Other	1	1	1.0	1.0	46,4234386	3,9769152	3	2.0	2.0	0.0	1.0	3.0	1.0	0.0	1.0	80	10
556	201900021572	138266054	A01	Other	2	4	2	8.0	1.0	Other	Other	0.0	3.0	1.0	8	1	Other	1	1	1.0	6.0	44,3003300	3,3135880	3	2.0	2.0	0.0	1.0	1.0	1.0	0.0	3.0	80	9
709	201900027084	138255393	A01	10	3	4	1	8.0	2.0	10	Other	1.0	2.0	Other	3	5	Other	2	1	2.0	6.0	15,9935700	-61,7250900	4	2.0	2.0	0.0	2.0	1.0	2.0	0.0	1.0	50	9
555	201900021572	138266054	A01	Other	2	4	1	8.0	1.0	Other	Other	0.0	3.0	1.0	8	1	Other	1	1	1.0	6.0	44,3003300	3,3135880	3	2.0	2.0	0.0	1.0	1.0	1.0	0.0	3.0	80	8
1009	201900039069	138232653	B01	Other	2	1	2	1.0	2.0	Other	0.0	0.0	4.0	2.0	1	5	Other	1	1	2.0	2.0	43,5424790	3,7893000	1	1.0	1.0	0.0	1.0	1.0	2.0	3.0	1.0	30	8

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Uppercase Letter

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Pie chart

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter